NIH Data Analytics to Support Data Resources, Research Software, and Data Stewardship Programs

What Will I Be Doing?

• Developing a foundational understanding of NIH data ecosystem initiatives and ODSS strategic goals
• Applying FAIR data principles to promote scientific discovery and reproducibility
• Conducting landscape and gap analyses to identify unmet needs, duplication, and areas for strategic investment
• Designing and implementing analytics projects to evaluate the adoption and impact of FAIR practices and persistent identifiers
• Collaborating with NIH Institutes, Centers, Offices, and the broader research community to exchange ideas and insights
• Strengthening skills in strategic analysis, program evaluation, and informatics leadership

Why Should I Apply?

This STEM learning fellowship provides a unique opportunity to deepen your expertise in data science, analytics, and NIH-led research initiatives. Participants will gain hands-on experience with NIH data ecosystem strategies, refine their analytical and computational skills, and explore innovative approaches to advancing data sharing and reuse. Guided by experienced mentors, participants will contribute to impactful projects while expanding their understanding of how data-driven practices can accelerate scientific discovery and improve health outcomes.

Where will I be located?

Fellows are expected to be fully engaged, either in-person or remote. In-person location is Bethesda, MD.

What financial provisions will I receive?

The selected candidates will receive a monthly stipend to help offset living and other expenses during this appointment. Stipend rates are determined by NIH officials and are based on the candidate’s academic and professional background. In addition, NIH may provide a health insurance supplement to cover the monthly premium costs if you elect the ORAU/ORISE health insurance plan, as necessary.

What is the length of the appointment?

The appointment will initially be for one year and may be renewed for an additional four years upon recommendation of NIH and is contingent on the availability of funds.

When are selections made?

An initial review of applications will occur on July 1, 2026. Thereafter, applications will be reviewed on a rolling-basis throughout the 2026 calendar year, and selections made as projects for participation become available.

Nature of the Appointment

This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and the National Institutes of Health (NIH). Participants do not become employees of NIH, DOE, ORISE, nor ORAU, and there are no employment-related benefits.

Qualification Requirements

The qualified candidate must be 18 years or older at the time of application and should have received a doctoral degree in one of the relevant fields. The degree must have been received within the last five years of the appointment start date. Current graduate students who are nearing degree completion may apply but must have completed their degrees by the start of the fellowship.

Citizenship Requirements

This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page for information about the valid immigration statuses that are acceptable for program participation.

Application Requirements

• A complete Zintellect profile
• A program specific application submitted in Zintellect
• Transcript(s) – Submit a copy of your most recent official transcript
• A current resume/CV, including academic history, employment history, relevant experiences, and publication list
• One Recommendation - Applicants are required to provide contact information for at least one recommendation in order to submit the application, but up to three are encouraged